Advisor360°
Website:
advisor360.com
Job details:
At Advisor360°, we build technology that transforms how wealth management firms operate, scale, and serve their clients. As a leading SaaS platform in the fintech space, we’re trusted by some of the largest independent broker-dealers and RIAs to power the full advisor and client experience—from portfolio construction and reporting to compliance and client engagement.
What sets us apart? It's not just the tech (though it's best-in-class). It's the people, the purpose, and the passion behind everything we do.
We’re a team of builders, thinkers, and doers who believe that great companies are defined by the stories they tell and the experiences they create—internally and externally. We bring deep industry expertise, a collaborative spirit, and a commitment to innovation as we reshape what’s possible in wealth management.
As we grow, we’re looking for teammates who are ready to roll up their sleeves, think big, and help elevate our brand in a way that reflects the bold ambitions we have for our company and the clients we serve.
Join us, and be part of a company that's not only moving fast—but making it count.
Job Brief
As a DevOps Engineer II, you’ll help build, automate, and improve the cloud infrastructure and software delivery capabilities that power Advisor360°’s platform. You’ll work alongside software engineers, architects, security teams, and product teams to create scalable CI/CD pipelines, cloud-native infrastructure, and internal platform capabilities. You’ll also explore practical ways to use AI-assisted automation to improve developer productivity, platform reliability, troubleshooting, and software delivery.
Here’s What You’ll Do
- Design, implement, and continuously improve secure and scalable CI/CD pipelines using GitHub Actions, reusable workflows, and GitOps principles.
- Provision, configure, and manage Microsoft Azure infrastructure using Infrastructure-as-Code technologies such as Terraform, Bicep, or similar tools.
- Build and maintain internal platform capabilities, reusable deployment patterns, and repository templates that help engineering teams deliver software consistently and independently.
- Support containerized and cloud-native workloads using Docker, Kubernetes, Azure Kubernetes Service (AKS), Azure Container Apps, and related Azure services.
- Develop scripts, tools, and automation workflows using Python, Bash, PowerShell, APIs, and AI-assisted development frameworks to reduce repetitive manual work and operational toil.
- Build AI-assisted automation to support software delivery, analyze deployment failures, improve troubleshooting, and help engineering teams make better operational decisions.
- Partner with software engineers, architects, security teams, and product teams to improve build, testing, deployment, release, and operational processes.
- Troubleshoot infrastructure, CI/CD, networking, deployment, configuration, and runtime issues across development, testing, and production environments.
- Improve platform reliability through monitoring, observability, alerting, health checks, capacity management, and automated remediation.
- Apply secure-by-default engineering practices by integrating vulnerability scanning, secrets detection, access controls, policy enforcement, and compliance checks into delivery workflows.
- Use AI and data-driven techniques to assist with deployment risk analysis, incident investigation, log summarization, root-cause identification, and operational recommendations.
- Define and track engineering metrics such as deployment frequency, lead time, failure rate, recovery time, platform reliability, and developer experience.
- Evaluate emerging AI, cloud, and DevOps technologies and identify practical opportunities to improve engineering productivity and software delivery.
- Maintain high-quality technical documentation, architecture guidance, operational procedures, and reusable engineering knowledge.
- Participate in production support and on-call rotations, contribute to incident response, and turn lessons learned into lasting platform improvements.
- Promote a culture of experimentation, automation, continuous learning, and responsible use of AI across software delivery and operations.
What You Bring To The Table
- 5+ years of experience in DevOps, Site Reliability Engineering (SRE), Platform Engineering, or a related role.
- Hands-on experience building, maintaining, and supporting CI/CD pipelines and cloud infrastructure.
- Strong hands-on experience with Microsoft Azure and cloud-native application environments.
- Experience with Git and GitHub, including GitHub Actions or comparable CI/CD platforms.
- Experience with Infrastructure-as-Code technologies such as Terraform, Bicep, ARM templates, Pulumi, or similar tools.
- Hands-on experience with Docker and Kubernetes, including Azure Kubernetes Service (AKS) and/or Azure Container Apps.
- Proficiency in Python, Bash, PowerShell, or another automation-focused scripting language.
- Strong understanding of modern DevOps, platform engineering, GitOps, Infrastructure as Code, and reusable repository/deployment patterns.
- Experience with monitoring and observability platforms such as Dynatrace, Azure Monitor, Application Insights, OpenTelemetry, Elasticsearch, or similar tools.
- Understanding of cloud security, identity and access management, secrets management, vulnerability scanning, and policy-as-code practices.
- Experience troubleshooting issues across applications, cloud infrastructure, networking, CI/CD pipelines, and production environments.
- Familiarity with software delivery metrics, deployment risk management, incident management, and Site Reliability Engineering principles.
- Ability to use AI-assisted engineering tools responsibly for automation, code generation, operational analysis, troubleshooting, and documentation while validating outputs for accuracy, security, and production readiness.
- Familiarity with Jira, Confluence, and modern software engineering workflows.
- Strong problem-solving, communication, documentation, and cross-functional collaboration skills.
- A continuous-learning mindset and interest in applying emerging AI capabilities to improve developer productivity, platform reliability, and software delivery.
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
Why You’ll Love Working Here
It’s not just about work—it’s about building a career and enjoying the ride! Here’s what you can expect:
We believe in recognizing and rewarding performance. Our compensation package includes competitive base salaries, annual performance-based bonuses, and the chance to share in the equity value you and your colleagues create during your time with the company. We offer comprehensive health benefits, including dental, life, and disability insurance. We also trust our employees to manage their time effectively, which is why we offer an unlimited paid time off program to help you perform at your best every day.
Join us on this journey. Advisor360° is an equal opportunity employer committed to a diverse workforce. We believe diversity drives innovation and are therefore building a company where people of all backgrounds are truly welcome and included. Everyone is encouraged to bring their unique, authentic selves to work each and every day. The way we see it, we are here to learn from each other.
As part of our recruiting process, Advisor360 uses Metaview during recruiter screening conversations solely to transcribe interview notes and capture an accurate record of the discussion. These transcripts help our recruiting team focus on the conversation rather than manual note-taking.
Advisor360°does not use artificial intelligence to evaluate candidates, make hiring decisions, rank applicants, or determine whether a candidate advances through the interview process. All hiring decisions are made by our recruiting team and hiring managers based on human review and assessment.
Click on Apply to know more.
